/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements.  See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License.  You may obtain a copy of the License at
*
*    http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/

package org.apache.spark.sql

import org.apache.spark.sql.types.Metadata

object DatasetExtensions {

  implicit class DatasetWrapper(dataset: Dataset[_]) {
    def withColumns(colNames: Seq[String], cols: Seq[Column]): DataFrame = {
      colNames.zip(cols).foldLeft(dataset.toDF()) {
        case (currentDataFrame, (columnName, column)) => currentDataFrame.withColumn(columnName, column)
      }
    }

    def withColumn(colName: String, col: Column, metadata: Metadata): DataFrame = {
      dataset.withColumn(colName, col, metadata)
    }
  }

}
